Cooperative multi-hop relaying via network formation games in cognitive radio networks

Wei Li, Xiuzhen Cheng, Tao Jing, Xiaoshuang Xing
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引用次数: 67

Abstract

The cooperation between the primary and the secondary users has attracted a lot of attention in cognitive radio networks. However, most existing research mainly focuses on the single-hop relay selection for a primary transmitter-receiver pair, which might not be able to fully explore the benefit brought by cooperative transmissions. In this paper, we study the problem of multi-hop relay selection by applying the network formation game. In order to mitigate interference and reduce delay, we propose a cooperation framework FTCO by considering the spectrum sharing in both the time and the frequency domain. Then we formulate the multi-hop relay selection problem as a network formation game, in which the multi-hop relay path is computed via performing the primary player's strategies in the form of link operations. We also devise a distributed dynamic algorithm PRADA to obtain a global-path stable network. Finally, we conduct extensive numerical experiments and our results indicate that cooperative multi-hop relaying can significantly benefit both the primary and the secondary network, and that the network graph resulted from our PRADA algorithm can achieve the global-path stability.
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认知无线网络中基于网络编队博弈的多跳协同中继
在认知无线网络中,主从用户之间的协作一直是人们关注的焦点。然而,现有的研究大多集中在主收发对的单跳中继选择上,可能无法充分挖掘合作传输带来的效益。本文利用网络编队博弈理论研究了多跳中继选择问题。为了减少干扰和延迟,我们提出了一种考虑时域和频域频谱共享的合作框架FTCO。然后将多跳中继选择问题表述为网络形成博弈,其中通过执行主参与者的链路操作策略来计算多跳中继路径。我们还设计了一种分布式动态算法PRADA,以获得全局路径稳定的网络。最后,我们进行了大量的数值实验,结果表明,合作多跳中继对主网络和从网络都有显著的好处,并且我们的PRADA算法得到的网络图可以实现全局路径稳定性。
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